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An experienced Data Modeler to join our client’s Rata & Risk department. In this role, you will be instrumental in structuring and maintaining data that supports risk modelling, regulatory reporting, and credit lifecycle management. You will help the client deliver system-driven solutions and implement tooling to facilitate data remediation, ensuring all data meets stringent quality standards. As a Data Modeler, you are responsible for ensuring that requested data is made available, assessed for quality, and architected to be fit for purpose for downstream data consumers.
Job Responsibility:
Perform end-to-end data modeling, data analysis, and data engineering
Design and present technical solutions while maintaining documentation suitable for regulatory review
Act as a project content lead, defining and driving technical data solutions
Implement automated data pipelines and manage data transfers to and from specialized tooling
Onboard external data sources to address gaps in critical data elements
Build and refine data models that specifically enable complex data remediation processes
Develop robust data pipelines to support various technical initiatives
Streamline and simplify the platform to improve usability for end users
Collaborate with stakeholders to ensure data solutions align with organizational goals
Requirements:
7+ years of professional experience in data modeling and analysis, handling complex datasets end-to-end
Proficiency in SQL, Python, and PySpark
Comprehensive understanding of Azure Cloud, specifically Azure Data Lake Storage (ADLS)
Familiarity with the Azure Stack, Databricks, Unity Catalog, and Azure Data Factory
Awareness of software development best practices (CI/CD, unit testing, Git)
Nice to have:
Prior knowledge of credit risk and banking processes is a significant advantage